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Fragmented QRS, a strong predictor of mortality and major arrhythmic events in patients with nonischemic cardiomyopathy: A systematic review and meta‐analysis

Autor: Moein Zangiabadian, Mohammad Sharifian Ardestani, Malihe Rezaee, Elahe Saberi Sharbabaki, Mahdi Nikoohemmat, Mohammad Eslami, Kian Goudarzi, Mojgan Sanjari, Mohammad Hasan Namazi, Mohammad Ali Akbarzadeh, Azadeh Aletaha

Publikováno v: Health Science Reports, Vol 7, Iss 2, Pp n/a-n/a (2024)

Abstract Background and Aims Fragmented QRS (fQRS), which is associated with rhythm disturbances, can predispose the heart to fatal ventricular arrhythmias. Recently, accumulating studies indicates that fQRS is associated with poor prognosis in vario

Externí odkaz: https://doaj.org/article/46fe383248e04449b5c04469eea159ac

Editorial for "MRI Assessment of Myocardial Deformation for Risk Stratification of Major Arrhythmic Events in Patients with Non-Ischemic Cardiomyopathy Eligible for Primary Prevention Implantable Cardioverter Defibrillators".

Autor: Espe E; Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.; KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway., Stokke MK; Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.; KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.

Publikováno v: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Nov; Vol. 60 (5), pp. 1987-1988. Date of Electronic Publication: 2024 Feb 15.

Deep learning-based prediction of major arrhythmic events in dilated cardiomyopathy: A proof of concept study.

Autor: Mattia Corianò, Corrado Lanera, Laura De Michieli, Martina Perazzolo Marra, Sabino Iliceto, Dario Gregori, Francesco Tona

Publikováno v: PLoS ONE, Vol 19, Iss 2, p e0297793 (2024)

Prediction of major arrhythmic events (MAEs) in dilated cardiomyopathy represents an unmet clinical goal. Computational models and artificial intelligence (AI) are new technological tools that could offer a significant improvement in our ability to p

Externí odkaz: https://doaj.org/article/f1c7f3bb298148d3896e129a943c5c34

Wide QRS complex and the risk of major arrhythmic events in Brugada syndrome patients: A systematic review and meta‐analysis

Autor: Pattara Rattanawong, Jakrin Kewcharoen, Chol Techorueangwiwat, Chanavuth Kanitsoraphan, Raktham Mekritthikrai, Narut Prasitlumkum, Prapaipan Puttapiban, Poemlarp Mekraksakit, Wasawat Vutthikraivit, Dan Sorajja

Publikováno v: Journal of Arrhythmia, Vol 36, Iss 1, Pp 143-152 (2020)

Abstract Background Brugada syndrome (BrS) is an inherited arrhythmic disease associated with an increased risk of major arrhythmic events (MAE). Previous studies reported that a wide QRS complex may be useful as a predictor of MAE in BrS patients. W

Externí odkaz: https://doaj.org/article/896f7004ceb4445db47bd380c1b3aec7